[Remote] Forward Deployed Data Scientist
Note: The job is a remote job and is open to candidates in USA. Govini transforms Defense Acquisition into a software-driven strategic advantage for the United States. They are seeking a Data Scientist to leverage expertise in Artificial Intelligence to develop scalable AI solutions that help government clients make informed decisions based on complex datasets.
Responsibilities
- Developing new AI methods and using existing ones to solve complex defense problems
- Developing working AI systems and deploying them
- Rapid prototyping of AI models, systems, heuristics, and agentic solutions
- Working directly with customers to understand and solve their problems
- Translating customer problem definitions into technical requirements for AI-based systems
- Translating vague customer needs into concrete AI workflows and Data Science solutions
- Evaluating solution effectiveness with customers, tuning, and redefining solutions when needed
- Deploying code into production AI systems
- Taking end-to-end ownership of client problems
- Communicating clearly with both non-technical and technical users
- Working with AI platform, agentic AI, and data engineering teams to build end-to-end solutions in production deployments
- Collaborating with AI platform and agentic AI teams to generalize capabilities into reusable agentic AI features/skills for other deployments
- Wrapping AI/DS solutions into AI agentic/skills frameworks
- Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools
Skills
- U.S. Citizenship is required
- Ability to translate customer problems into technical AI requirements, and write down the documentation to be used by multiple teams
- Deep ability to embed with clients, understand vague business or national security challenges, and translate these customer problems into concrete, actionable technical requirements and detailed documentation for AI-based systems
- Expertise in rapidly prototyping models, heuristics, and agentic solutions. The ability to translate vague needs into concrete AI workflows and Data Science solutions, followed by deploying production-grade code and taking end-to-end ownership of the client's problem
- Skill in defining concrete AI workflows from vague requirements
- Experience evaluating and tuning AI solutions for effectiveness. Experience in measuring the impact of AI/DS solutions
- Competency in deploying code into production AI systems. Competency in building agent/skills solving particular problems
- Expertise in integrating AI/DS solutions into agentic frameworks
- End-to-end ownership of client problems
- Strong communication with non-technical users and technical users
- Collaboration with cross-functional teams for production deployment
- Strong collaboration and communication skills to work effectively with AI platform and data engineering teams. This includes generalizing unique AI/DS solutions into reusable agentic features/skills and integrating them into agentic frameworks for other production deployments
- A strong publication record in the top conferences in one of the AI, ML, NLP, or decision science areas
- Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
- Extensive expertise in specialized domains such as Operations Research, Optimization, and Decision Science
- Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
Company Overview